Quantifying Nutrient Load Reduction Practices at Multiple Field Sites Jan 2025

Project Update

In the July-Dec 2024 reporting period we completed the following activities:

Project 1: Monitoring and Evaluation of a New Saturated Waterway Conservation Practice • Installed N sensors for real-time monitoring of Clark Porter’s grassed waterway • Bi-weekly sampling of monitoring wells at Clark Porter’s grassed waterway

Project 2: Quantifying Stacked Conservation Practices for Reducing Nutrient Losses at a Field Scale • Installed new saturated buffer at Mike Paustian's • Instrumented new saturated buffer with live nitrate, turbidity, and flow sensors Read more about Quantifying Nutrient Load Reduction Practices at Multiple Field Sites Jan 2025

Dam! Impacts of Beaver Dams on Surface and Groundwater Quality Sep 2025

Project Update

Other accomplishments and activities 

ISU student researcher Andrew Rupiper successfully completed his master's thesis in July 2024. His work was supported by this project. Following graduation (December 2024), two manuscripts (on dam pool sediment storage and nitrate removal in dam pools) are being prepared for submission to peer-reviewed journals.

Results from this project (present in Rupiper, 2024, thesis) are frequently used in forestry extension programming, notably the Iowa Master Woodland Steward Program. Read more about Dam! Impacts of Beaver Dams on Surface and Groundwater Quality Sep 2025

Spatial models for scaling optimal nutrient management research from plot to field and watershed scales Sep 2025

Project Update

The second year of monthly (4-week interval) sampling of the study field is underway. A consistent grid of 100 samples per month is being taken from the field to a depth of 15 cm (6 inches), packed into individual bags, and sent for further analysis at a commercial laboratory for soil nutrients. Digital maps are being created using two approaches, spatial autocorrelation (ordinary kriging) and spatial association (machine learning (ML) with random forest). For the ML method, the covariates are fed into the training process with 80% of the sample results. Read more about Spatial models for scaling optimal nutrient management research from plot to field and watershed scales Sep 2025

Spatial models for scaling optimal nutrient management research from plot to field and watershed scales Sep 2025

Project Update

All 1,400 samples have been completely analyzed. A stack of covariates, including different digital terrain attributes (slope gradient, profile curvature, eastness, northness, etc.) and remote sensing imagery (Sentinel-2, Landsat-8), was applied as predictors in the modelling process. Read more about Spatial models for scaling optimal nutrient management research from plot to field and watershed scales Sep 2025

Investigating Long-term Nutrient Trends and Short-term Orthophosphate Dynamics in a HUC12 Basin with Extensive Land Use Change Sep 2025

Project Update

All relevant datasets from the study watershed (Walnut Creek) have been retrieved and organized. Analysis has been completed for the first part of this project, which summarizes the impact of Neal Smith National Wildlife Refuge on downstream nitrate and sediment over the past 30 years.

Work has also begun on the second part of this project, which explores orthophosphate transport using a unique, high-resolution dataset produced by the USDA  Agricultural Research Service.

Other accomplishments and activities Read more about Investigating Long-term Nutrient Trends and Short-term Orthophosphate Dynamics in a HUC12 Basin with Extensive Land Use Change Sep 2025

An integrated assessment framework to evaluate conservation practices and environmental and economic benefits: A case for central Iowa Sep 2025

Project Update

Researchers completed a draft manuscript, "Integrating new fruit and vegetable yield data in SWAT models for improved simulations," which will be submitted soon to Environmental Modelling & Software ( https://www.sciencedirect.com/journal/environmental-modelling-and-software) that will acknowledge the INRC project among other funding sources. Read more about An integrated assessment framework to evaluate conservation practices and environmental and economic benefits: A case for central Iowa Sep 2025

Evaluating the effectiveness of stacked practices: Utilizing modified blind inlets at terrace sites for N and P load reductions Sep 2025

Project Update

During the second half of 2024, several significant rain events occurred at both study sites. Real-time flow through each inlet and real-time nitrate data continued to be collected. However, the later part of 2024 mimicked 2023 and drought conditions returned to the study sites. Still, valuable data was collected in the spring that was sufficient to answer the study questions proposed. Read more about Evaluating the effectiveness of stacked practices: Utilizing modified blind inlets at terrace sites for N and P load reductions Sep 2025

Watershed Scaling Effects Measured Via Nested High Frequency Sensors Aug 2025

Project Update

Primary activities have been installation of additional field sites, reinstallation of established sites, and maintenance/troubleshooting of problems as they occur. It has been a challenging year for keeping all sites functioning with low-water levels and high-water levels occurring at different times and places, cell reception changes from previous years, and vandalism causing problems with data acquisition. However, we are actively collecting data at present and will continue through the field season. Read more about Watershed Scaling Effects Measured Via Nested High Frequency Sensors Aug 2025

Basin Breakthrough: A lunch and learn series sponsored by SERA-46

Event
Monday, October 6, 2025 - 12:00pm to 1:00pm

Early Career Leaders in Mississippi: River Basin Water Quality Research

Emerging Voices, Innovative Solutions. Presentations by:

  • MN: Zac Aanerud, PhD | Agricultural Coordinator, Kandiyoh Soil & Water Conservation District
  • WI: Anna Apostel, PhD | Research Associate, University of Wisconsin-Madison
  • IA: Gabriel Johnson, PhD | Postdoctoral Researcher, Iowa State University

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